Purpose of Review <p>This review focuses on the current applications of AI in the management of patients with allergic diseases, aiming to provide insights for innovative applications of AI in this field.</p> Recent Findings <p>Several fields of artificial intelligence, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have significant potential in treating allergic diseases, capable of enhancing diagnostic and therapeutic capabilities while improving the efficiency of clinicians and healthcare systems.</p> Summary <p>With the advancement of information technology, artificial intelligence (AI) has increasingly demonstrated its advantages in the diagnosis, treatment, and management of allergic diseases. AI assists physicians in evaluating diagnostic and therapeutic outcomes, providing effective tools for assessing disease severity, monitoring allergies, and delivering health education to patients.</p>

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Artificial Intelligence in Allergic Diseases Prediction and Management

  • Duanyang Guo,
  • Ningkun Xiao,
  • Linzi Chen,
  • Sifang Zhang

摘要

Purpose of Review

This review focuses on the current applications of AI in the management of patients with allergic diseases, aiming to provide insights for innovative applications of AI in this field.

Recent Findings

Several fields of artificial intelligence, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have significant potential in treating allergic diseases, capable of enhancing diagnostic and therapeutic capabilities while improving the efficiency of clinicians and healthcare systems.

Summary

With the advancement of information technology, artificial intelligence (AI) has increasingly demonstrated its advantages in the diagnosis, treatment, and management of allergic diseases. AI assists physicians in evaluating diagnostic and therapeutic outcomes, providing effective tools for assessing disease severity, monitoring allergies, and delivering health education to patients.